Evidence map›Paper›PMID 40782140›Full record

ArticleMolecular diversity2026

Identification of new dasatinib analogues targeting mutated BCR-ABL1: virtual screening, molecular docking, and dynamics simulations studies.

Mohammad Jahoor Alam, Arshad Jamal, Shaik Daria Hussain, Shahzaib Ahamad, Dinesh Gupta, Ashanul Haque

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Article in Molecular diversity, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Mohammad Jahoor AlamDepartment of Biology, College of Science, University of Hail, Ha'il, Saudi Arabia. j.alam@uoh.edu.sa.
Arshad JamalDepartment of Biology, College of Science, University of Hail, Ha'il, Saudi Arabia.
Shaik Daria HussainDepartment of Physiotherapy, College of Applied Medical Sciences, University of Ha'il, 2440, Ha'il, Saudi Arabia.
Shahzaib AhamadTranslational Bioinformatics Group, International Centre for Genetic Engineering and Biotechnology (ICGEB), Aruna Asaf Ali Marg, New Delhi, 110067, India.
Dinesh GuptaTranslational Bioinformatics Group, International Centre for Genetic Engineering and Biotechnology (ICGEB), Aruna Asaf Ali Marg, New Delhi, 110067, India.
Ashanul HaqueDepartment of Chemistry, College of Science, University of Hail, Ha'il, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug resistance is a major challenge in cancer chemotherapy and accounts for a majority of cancer-related deaths globally. One of the well-identified and characterised mechanisms of drug resistance in chronic myeloid leukaemia (CML) is the presence of BCR-ABL1 mutations, which is responsible for resistance against first-line tyrosine kinase inhibitors (TKIs) such as imatinib, dasatinib, and nilotinib. In the present work, we first performed a three-tier virtual screening against the human tyrosine kinase ABL1 protein (PDB ID: 2GQG). Top-performing compounds were then selected for molecular dynamics (MD) simulation studies at 500 ns to understand their affinity, dynamics, and stability with the target protein. Finally, density functional theory (DFT) studies at the B3LYP/6-31G* level of theory were conducted to elucidate the molecular features of the identified compounds. Based on the docking scores (-14.80 to -13.79 kcal/mol) and ADMET profiles, we identify 45375848, 88575518, and 23589024 as the most promising candidates. All three compounds contained N-(2-chloro-6-methylphenyl)-2-(methylamino) thiazole-5 carboxamide as the common fragment. MD parameters (RMSD, RMSF and SSE) further complemented the docking results, showing stabilisation of the ABL1 protein in the presence of identified compounds. High drug-likeness, acceptable pharmacokinetic profile and other molecular features warrant the drug-like behaviour of the compounds. Overall, this study highlights promising ABL1 inhibitors, laying the ground for further investigations.

Indexed as

DasatinibFusion Proteins, bcr-ablMolecular Docking SimulationMolecular Dynamics SimulationMutationProtein Kinase InhibitorsAntineoplastic AgentsDrug Evaluation, PreclinicalHumansAntineoplastic AgentsDasatinibFusion Proteins, bcr-ablProtein Kinase InhibitorsABL1CancerDasatinib analoguesMD SimulationsMolecular docking

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.